Multiple outperforms single imputation by providing better and much more stable estimates, according to the computed validation statistics.
The key principle is that in computing cross-validation error rates, within each cross-validation fold only training observations can be used in any aspect of feature selection or model development.
Then the model is built (or trained) with all the subsets except the one that is used to compute the validation error.
We build a classifier by selecting the genes (without enrichment) representing each pathway and compute the validation accuracy.
We computed standard validation measures: the proportion of antibody HCV seropositive specimens, sensitivity, specificity, positive likelihood and negative likelihood ratio and the area "under the receiver operating characteristic curve (AUC) as discrimination statistics.
We computed standard validation measures for the proportion of those tested positive for chlamydia infection, sensitivity, specificity, positive likelihood and negative likelihood ratio and the area under the receiver-operating characteristic curve (AUC) 13 as discrimination statistics.
Statistical significance between the identified cancer subtypes and their clinical features are computed for validation; results show that our method can identify and characterize clinically meaningful tumor subtypes comparable or better in most datasets than the recently introduced Network-Based Stratification method while enabling real-time search.
This method allows computing of SL, validation and assessing of its spatial distribution with robust statistical accuracy, and objectively defining the anomalies in SL.
SR participated in the GPS/GIS data collection, the data computing and the validation, and in the interpretation of data.
ADMIXTURE provides an assessment of the "best" K by computing a cross validation index, which points to the predictive accuracy of the model at a given K.
